Overview

Dataset statistics

Number of variables7
Number of observations82
Missing cells24
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory57.6 B

Variable types

Categorical2
Text4
DateTime1

Dataset

Description경기도 시흥시 이용업 현황입니다. 업소명, 영업소 주소(도로명소재지, 지번소재지), 소재지전화, 담당자 연락처 현황으로 구성되어 있습니다.
URLhttps://www.data.go.kr/data/15055105/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일 has constant value ""Constant
담당자 연락처 has constant value ""Constant
소재지전화 has 24 (29.3%) missing valuesMissing
영업소 주소(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:51:26.264960
Analysis finished2023-12-12 18:51:28.091638
Duration1.83 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size788.0 B
이용업
82 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row이용업
2nd row이용업
3rd row이용업
4th row이용업
5th row이용업

Common Values

ValueCountFrequency (%)
이용업 82
100.0%

Length

2023-12-13T03:51:28.181773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:51:28.327374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이용업 82
100.0%

업소명
Text

Distinct81
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-13T03:51:28.609669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length5.8658537
Min length3

Characters and Unicode

Total characters481
Distinct characters137
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)97.6%

Sample

1st row대야이발관
2nd row정왕이발관
3rd row용례이발관
4th row대명이발관
5th row유지성헤어디자인실
ValueCountFrequency (%)
이용원 3
 
3.5%
금호이발관 2
 
2.3%
평화사우나내이용원 1
 
1.2%
강산이용원 1
 
1.2%
등대이용원 1
 
1.2%
문명이용원 1
 
1.2%
신동아이발관 1
 
1.2%
은행이용원 1
 
1.2%
유성보석사우나내 1
 
1.2%
은성이발관 1
 
1.2%
Other values (73) 73
84.9%
2023-12-13T03:51:29.200326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 71
 
14.8%
발 44
 
9.1%
관 39
 
8.1%
용 24
 
5.0%
원 23
 
4.8%
아 10
 
2.1%
샵 9
 
1.9%
나 8
 
1.7%
스 8
 
1.7%
버 8
 
1.7%
Other values (127) 237
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 462
96.0%
Space Separator 4
 
0.8%
Lowercase Letter 4
 
0.8%
Open Punctuation 3
 
0.6%
Close Punctuation 3
 
0.6%
Uppercase Letter 3
 
0.6%
Other Punctuation 1
 
0.2%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 71
 
15.4%
발 44
 
9.5%
관 39
 
8.4%
용 24
 
5.2%
원 23
 
5.0%
아 10
 
2.2%
샵 9
 
1.9%
나 8
 
1.7%
스 8
 
1.7%
버 8
 
1.7%
Other values (116) 218
47.2%
Lowercase Letter
ValueCountFrequency (%)
o 2
50.0%
n 1
25.0%
w 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
D 1
33.3%
I 1
33.3%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 462
96.0%
Common 12
 
2.5%
Latin 7
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 71
 
15.4%
발 44
 
9.5%
관 39
 
8.4%
용 24
 
5.2%
원 23
 
5.0%
아 10
 
2.2%
샵 9
 
1.9%
나 8
 
1.7%
스 8
 
1.7%
버 8
 
1.7%
Other values (116) 218
47.2%
Latin
ValueCountFrequency (%)
o 2
28.6%
S 1
14.3%
D 1
14.3%
I 1
14.3%
n 1
14.3%
w 1
14.3%
Common
ValueCountFrequency (%)
4
33.3%
( 3
25.0%
) 3
25.0%
/ 1
 
8.3%
2 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 462
96.0%
ASCII 19
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 71
 
15.4%
발 44
 
9.5%
관 39
 
8.4%
용 24
 
5.2%
원 23
 
5.0%
아 10
 
2.2%
샵 9
 
1.9%
나 8
 
1.7%
스 8
 
1.7%
버 8
 
1.7%
Other values (116) 218
47.2%
ASCII
ValueCountFrequency (%)
4
21.1%
( 3
15.8%
) 3
15.8%
o 2
10.5%
/ 1
 
5.3%
S 1
 
5.3%
D 1
 
5.3%
I 1
 
5.3%
2 1
 
5.3%
n 1
 
5.3%

영업소 주소(도로명)
Text

UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-13T03:51:29.567063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length42
Mean length30.426829
Min length19

Characters and Unicode

Total characters2495
Distinct characters152
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)100.0%

Sample

1st row경기도 시흥시 대골길 28 (대야동)
2nd row경기도 시흥시 다솜마을2길 17-1 (정왕동,1층)
3rd row경기도 시흥시 군자로 525, 신광도료 1층 일부호 (거모동)
4th row경기도 시흥시 호현로 84-1 (대야동)
5th row경기도 시흥시 시흥대로1073번길 4-10 (신천동,103호)
ValueCountFrequency (%)
경기도 82
 
16.1%
시흥시 82
 
16.1%
정왕동 20
 
3.9%
1층 14
 
2.8%
신천동 11
 
2.2%
대야동 10
 
2.0%
일부호 9
 
1.8%
2층 8
 
1.6%
배곧동 7
 
1.4%
중심상가로 6
 
1.2%
Other values (204) 260
51.1%
2023-12-13T03:51:30.194888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
427
 
17.1%
시 172
 
6.9%
1 102
 
4.1%
동 90
 
3.6%
도 87
 
3.5%
흥 86
 
3.4%
( 85
 
3.4%
) 85
 
3.4%
기 84
 
3.4%
2 83
 
3.3%
Other values (142) 1194
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1400
56.1%
Space Separator 427
 
17.1%
Decimal Number 410
 
16.4%
Open Punctuation 85
 
3.4%
Close Punctuation 85
 
3.4%
Other Punctuation 60
 
2.4%
Dash Punctuation 20
 
0.8%
Uppercase Letter 8
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 172
 
12.3%
동 90
 
6.4%
도 87
 
6.2%
흥 86
 
6.1%
기 84
 
6.0%
경 82
 
5.9%
로 70
 
5.0%
길 48
 
3.4%
호 42
 
3.0%
정 41
 
2.9%
Other values (120) 598
42.7%
Decimal Number
ValueCountFrequency (%)
1 102
24.9%
2 83
20.2%
3 44
10.7%
0 33
 
8.0%
7 32
 
7.8%
4 30
 
7.3%
5 23
 
5.6%
6 22
 
5.4%
8 21
 
5.1%
9 20
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
C 2
25.0%
Y 1
12.5%
N 1
12.5%
I 1
12.5%
T 1
12.5%
A 1
12.5%
B 1
12.5%
Space Separator
ValueCountFrequency (%)
427
100.0%
Open Punctuation
ValueCountFrequency (%)
( 85
100.0%
Close Punctuation
ValueCountFrequency (%)
) 85
100.0%
Other Punctuation
ValueCountFrequency (%)
, 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1400
56.1%
Common 1087
43.6%
Latin 8
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 172
 
12.3%
동 90
 
6.4%
도 87
 
6.2%
흥 86
 
6.1%
기 84
 
6.0%
경 82
 
5.9%
로 70
 
5.0%
길 48
 
3.4%
호 42
 
3.0%
정 41
 
2.9%
Other values (120) 598
42.7%
Common
ValueCountFrequency (%)
427
39.3%
1 102
 
9.4%
( 85
 
7.8%
) 85
 
7.8%
2 83
 
7.6%
, 60
 
5.5%
3 44
 
4.0%
0 33
 
3.0%
7 32
 
2.9%
4 30
 
2.8%
Other values (5) 106
 
9.8%
Latin
ValueCountFrequency (%)
C 2
25.0%
Y 1
12.5%
N 1
12.5%
I 1
12.5%
T 1
12.5%
A 1
12.5%
B 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1400
56.1%
ASCII 1095
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
427
39.0%
1 102
 
9.3%
( 85
 
7.8%
) 85
 
7.8%
2 83
 
7.6%
, 60
 
5.5%
3 44
 
4.0%
0 33
 
3.0%
7 32
 
2.9%
4 30
 
2.7%
Other values (12) 114
 
10.4%
Hangul
ValueCountFrequency (%)
시 172
 
12.3%
동 90
 
6.4%
도 87
 
6.2%
흥 86
 
6.1%
기 84
 
6.0%
경 82
 
5.9%
로 70
 
5.0%
길 48
 
3.4%
호 42
 
3.0%
정 41
 
2.9%
Other values (120) 598
42.7%

영업소 주소(지번)
Text

Distinct81
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-13T03:51:30.707130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32.5
Mean length24.341463
Min length16

Characters and Unicode

Total characters1996
Distinct characters137
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)97.6%

Sample

1st row경기도 시흥시 대야동 447-13
2nd row경기도 시흥시 정왕동 1806-4 1층
3rd row경기도 시흥시 거모동 1761-13 신광도료
4th row경기도 시흥시 대야동 460-11
5th row경기도 시흥시 신천동 883-1 103호
ValueCountFrequency (%)
경기도 82
19.2%
시흥시 82
19.2%
정왕동 27
 
6.3%
신천동 15
 
3.5%
1층 12
 
2.8%
대야동 10
 
2.3%
배곧동 7
 
1.6%
거모동 6
 
1.4%
목감동 3
 
0.7%
대림아파트 3
 
0.7%
Other values (159) 179
42.0%
2023-12-13T03:51:31.409332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
410
20.5%
시 167
 
8.4%
1 108
 
5.4%
동 87
 
4.4%
흥 85
 
4.3%
도 84
 
4.2%
경 82
 
4.1%
기 82
 
4.1%
- 69
 
3.5%
2 65
 
3.3%
Other values (127) 757
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1030
51.6%
Decimal Number 456
22.8%
Space Separator 410
 
20.5%
Dash Punctuation 69
 
3.5%
Uppercase Letter 10
 
0.5%
Close Punctuation 9
 
0.5%
Open Punctuation 9
 
0.5%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 167
16.2%
동 87
 
8.4%
흥 85
 
8.3%
도 84
 
8.2%
경 82
 
8.0%
기 82
 
8.0%
정 28
 
2.7%
왕 27
 
2.6%
호 27
 
2.6%
신 19
 
1.8%
Other values (104) 342
33.2%
Decimal Number
ValueCountFrequency (%)
1 108
23.7%
2 65
14.3%
0 48
10.5%
7 43
 
9.4%
8 42
 
9.2%
4 33
 
7.2%
6 33
 
7.2%
5 33
 
7.2%
3 32
 
7.0%
9 19
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 3
30.0%
C 2
20.0%
T 1
 
10.0%
Y 1
 
10.0%
I 1
 
10.0%
N 1
 
10.0%
A 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
@ 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
410
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1030
51.6%
Common 956
47.9%
Latin 10
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 167
16.2%
동 87
 
8.4%
흥 85
 
8.3%
도 84
 
8.2%
경 82
 
8.0%
기 82
 
8.0%
정 28
 
2.7%
왕 27
 
2.6%
호 27
 
2.6%
신 19
 
1.8%
Other values (104) 342
33.2%
Common
ValueCountFrequency (%)
410
42.9%
1 108
 
11.3%
- 69
 
7.2%
2 65
 
6.8%
0 48
 
5.0%
7 43
 
4.5%
8 42
 
4.4%
4 33
 
3.5%
6 33
 
3.5%
5 33
 
3.5%
Other values (6) 72
 
7.5%
Latin
ValueCountFrequency (%)
B 3
30.0%
C 2
20.0%
T 1
 
10.0%
Y 1
 
10.0%
I 1
 
10.0%
N 1
 
10.0%
A 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1030
51.6%
ASCII 966
48.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
410
42.4%
1 108
 
11.2%
- 69
 
7.1%
2 65
 
6.7%
0 48
 
5.0%
7 43
 
4.5%
8 42
 
4.3%
4 33
 
3.4%
6 33
 
3.4%
5 33
 
3.4%
Other values (13) 82
 
8.5%
Hangul
ValueCountFrequency (%)
시 167
16.2%
동 87
 
8.4%
흥 85
 
8.3%
도 84
 
8.2%
경 82
 
8.0%
기 82
 
8.0%
정 28
 
2.7%
왕 27
 
2.6%
호 27
 
2.6%
신 19
 
1.8%
Other values (104) 342
33.2%

소재지전화
Text

MISSING 

Distinct58
Distinct (%)100.0%
Missing24
Missing (%)29.3%
Memory size788.0 B
2023-12-13T03:51:31.697621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.931034
Min length12

Characters and Unicode

Total characters808
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)100.0%

Sample

1st row 031- 312-7260
2nd row 031- 491-5352
3rd row 031- 312-8770
4th row 031- 311-8619
5th row 031- 312-8715
ValueCountFrequency (%)
031 56
45.5%
431 2
 
1.6%
499 2
 
1.6%
494-9792 1
 
0.8%
311-6813 1
 
0.8%
313-0786 1
 
0.8%
311-9199 1
 
0.8%
432-1761 1
 
0.8%
432-0946 1
 
0.8%
404-5734 1
 
0.8%
Other values (56) 56
45.5%
2023-12-13T03:51:32.233383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 125
15.5%
1 125
15.5%
- 116
14.4%
111
13.7%
0 84
10.4%
4 54
6.7%
9 40
 
5.0%
8 38
 
4.7%
2 30
 
3.7%
5 29
 
3.6%
Other values (2) 56
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 581
71.9%
Dash Punctuation 116
 
14.4%
Space Separator 111
 
13.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 125
21.5%
1 125
21.5%
0 84
14.5%
4 54
9.3%
9 40
 
6.9%
8 38
 
6.5%
2 30
 
5.2%
5 29
 
5.0%
7 29
 
5.0%
6 27
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%
Space Separator
ValueCountFrequency (%)
111
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 808
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 125
15.5%
1 125
15.5%
- 116
14.4%
111
13.7%
0 84
10.4%
4 54
6.7%
9 40
 
5.0%
8 38
 
4.7%
2 30
 
3.7%
5 29
 
3.6%
Other values (2) 56
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 808
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 125
15.5%
1 125
15.5%
- 116
14.4%
111
13.7%
0 84
10.4%
4 54
6.7%
9 40
 
5.0%
8 38
 
4.7%
2 30
 
3.7%
5 29
 
3.6%
Other values (2) 56
6.9%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size788.0 B
Minimum2023-05-24 00:00:00
Maximum2023-05-24 00:00:00
2023-12-13T03:51:32.394193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:51:32.535233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

담당자 연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size788.0 B
031-310-2484
82 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-310-2484
2nd row031-310-2484
3rd row031-310-2484
4th row031-310-2484
5th row031-310-2484

Common Values

ValueCountFrequency (%)
031-310-2484 82
100.0%

Length

2023-12-13T03:51:32.667779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:51:32.780816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-310-2484 82
100.0%

Correlations

2023-12-13T03:51:32.869698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명영업소 주소(도로명)영업소 주소(지번)소재지전화
업소명1.0001.0000.9991.000
영업소 주소(도로명)1.0001.0001.0001.000
영업소 주소(지번)0.9991.0001.0001.000
소재지전화1.0001.0001.0001.000

Missing values

2023-12-13T03:51:27.865205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:51:28.029303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

업종명업소명영업소 주소(도로명)영업소 주소(지번)소재지전화데이터기준일담당자 연락처
0이용업대야이발관경기도 시흥시 대골길 28 (대야동)경기도 시흥시 대야동 447-13031- 312-72602023-05-24031-310-2484
1이용업정왕이발관경기도 시흥시 다솜마을2길 17-1 (정왕동,1층)경기도 시흥시 정왕동 1806-4 1층<NA>2023-05-24031-310-2484
2이용업용례이발관경기도 시흥시 군자로 525, 신광도료 1층 일부호 (거모동)경기도 시흥시 거모동 1761-13 신광도료031- 491-53522023-05-24031-310-2484
3이용업대명이발관경기도 시흥시 호현로 84-1 (대야동)경기도 시흥시 대야동 460-11031- 312-87702023-05-24031-310-2484
4이용업유지성헤어디자인실경기도 시흥시 시흥대로1073번길 4-10 (신천동,103호)경기도 시흥시 신천동 883-1 103호031- 311-86192023-05-24031-310-2484
5이용업로얄헤어아트경기도 시흥시 대골길 72 (대야동)경기도 시흥시 대야동 476-13031- 312-87152023-05-24031-310-2484
6이용업강화이발관경기도 시흥시 신천4길 15 (신천동)경기도 시흥시 신천동 387031- 693-08052023-05-24031-310-2484
7이용업운영이발관경기도 시흥시 삼미시장4길 43 (신천동)경기도 시흥시 신천동 754031- 311-68412023-05-24031-310-2484
8이용업군자이발관경기도 시흥시 도일로102번길 6-2 (거모동)경기도 시흥시 거모동 1659-28031- 494-18832023-05-24031-310-2484
9이용업아그이발관경기도 시흥시 신천3길 22-1 (신천동)경기도 시흥시 신천동 760-19031- 311-19372023-05-24031-310-2484
업종명업소명영업소 주소(도로명)영업소 주소(지번)소재지전화데이터기준일담당자 연락처
72이용업스컬스바버샵경기도 시흥시 서울대학로264번길 12, 208동 1층 B-112호 (배곧동, 시흥배곧 C2블럭 호반 써밋플레이스 아파트)경기도 시흥시 배곧동 221 시흥배곧 C2블럭 호반 써밋플레이스 아파트031 -4330-04652023-05-24031-310-2484
73이용업배곧이발경기도 시흥시 서울대학로264번길 26-32, 배곧중앙프라자 8층 일부호 (배곧동)경기도 시흥시 배곧동 230 배곧중앙프라자<NA>2023-05-24031-310-2484
74이용업베닉스바버샵경기도 시흥시 서울대학로278번길 61, 서영베니스스퀘어(배곧2동 행정복지센터) 2층 227호 (배곧동)경기도 시흥시 배곧동 204 서영베니스스퀘어(배곧2동 행정복지센터)031 -499 -54252023-05-24031-310-2484
75이용업맨리바버샵경기도 시흥시 서울대학로278번길 25-24, 다인로얄팰리스 배곧1차 2층 203호 (배곧동)경기도 시흥시 배곧동 198-1 다인로얄팰리스 배곧1차<NA>2023-05-24031-310-2484
76이용업아이언바버샵경기도 시흥시 서울대학로264번길 25, 시흥배곧 아브뉴프랑 센트럴 블루 2층 231호 (배곧동)경기도 시흥시 배곧동 219 시흥배곧 아브뉴프랑 센트럴 블루<NA>2023-05-24031-310-2484
77이용업마르티노바버샵경기도 시흥시 서울대학로278번길 61, 서영베니스스퀘어 3층 343호 (배곧동)경기도 시흥시 배곧동 204 서영베니스스퀘어<NA>2023-05-24031-310-2484
78이용업나이스가이시흥목감2호점경기도 시흥시 목감우회로 45, 한울플러스 1층 109호 (목감동)경기도 시흥시 목감동 403-2 한울플러스<NA>2023-05-24031-310-2484
79이용업아이디에스(IDS)헤어경기도 시흥시 월곶중앙로70번길 3, 풍림프라자 2층 213호 일부호 (월곶동)경기도 시흥시 월곶동 1010-4 풍림프라자031- 318-96302023-05-24031-310-2484
80이용업서해이발경기도 시흥시 정왕신길로49번길 37, 서해아파트 1층 103호 (정왕동)경기도 시흥시 정왕동 1886-3 서해아파트<NA>2023-05-24031-310-2484
81이용업미카바버샵경기도 시흥시 서울대학로278번길 61, 서영베니스스퀘어 2층 209호 (배곧동)경기도 시흥시 배곧동 204 서영베니스스퀘어<NA>2023-05-24031-310-2484